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Why Is Everyone Talking About Nvidia Stock? | NVDA Stock Deep Dive Part 2

Published 2026.05.24
0:00 / 0:00

Source: YouTube. Summary is AI-generated from the video's captions and may contain errors. It does not represent the views of TubeBite, the creator, or YouTube. Watch the original before relying on anything important.

SUMMARY

Parkev Tatevosian, CFA, examines Nvidia's surging demand for its latest AI systems and the company's expanding global footprint. The analysis highlights accelerating revenue growth, rising product prices, and the strategic choices of major tech firms and sovereign entities.

MAIN POINTS

  • Nvidia's Grace Blackwell system is introduced as the fastest training system with the lowest token generation cost.
  • Major cloud providers like Alphabet, Amazon, and Microsoft are developing proprietary chips while some customers prefer Nvidia's full-stack solutions.
  • Sovereign entities are increasingly purchasing Nvidia's comprehensive AI infrastructure, leading to an 80% year-over-year increase in sovereign revenue.
  • Demand for AI infrastructure and factory buildouts is not only growing but accelerating, with Nvidia reporting three consecutive quarters of accelerating revenue growth.
  • Prices for Nvidia's older generation GPUs, such as the H100 and A100, have risen significantly year-to-date, indicating strong ongoing demand.
  • Early data suggests that companies investing in Nvidia-powered AI data centers may be achieving strong returns on investment, countering bubble concerns.

DETAILED ANALYSIS

Nvidia's latest product iteration, the Grace Blackwell system, is positioned as a comprehensive solution combining CPUs, GPUs, and networking components, catering to customers who prefer integrated systems. This approach appeals particularly to neo cloud providers such as Nebius Group, Coreweave, and Iren, who value the simplicity of a turnkey solution. In contrast, major hyperscalers like Alphabet, Amazon, Microsoft, and Meta are increasingly designing their own proprietary chips and assembling custom systems, though they continue to purchase Nvidia products to diversify their infrastructure and mitigate supply risks.

Nvidia's dominance in the data center market remains evident, as even these tech giants maintain significant reliance on its technology.

A notable trend is the surge in demand from sovereign entities—countries seeking to build AI capabilities for national security and economic competitiveness. These governments, lacking the expertise to design proprietary chips, are opting for Nvidia's full-stack solutions, resulting in sovereign revenue growing by more than 80% year-over-year. Nvidia's AI infrastructure is now deployed in nearly 40 countries, underlining its expanding global reach and the critical role of AI in national strategies.

The pace of AI infrastructure buildout is accelerating, with factory construction and deployment of AI systems outpacing already high expectations. This rapid expansion has fueled speculation of an AI bubble, particularly regarding Nvidia's stock valuation. However, Nvidia has reported three consecutive quarters of accelerating year-over-year revenue growth, challenging the narrative that its growth is unsustainable.

Supporting this momentum, the prices for Nvidia's older generation GPUs, such as the H100 and A100, have increased by 20% and 15% respectively year-to-date, despite being superseded by newer models. This price appreciation signals robust demand and suggests that companies renting or purchasing these GPUs are experiencing favorable returns on investment. While definitive ROI calculations will require several years of operational data, early indicators point to strong value creation for organizations investing in Nvidia-powered AI infrastructure.

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